Triple
T35325050
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | وزارة الخارجية |
E1020155
|
entity |
| Predicate | نطاق_الاختصاص |
P18508
|
FINISHED |
| Object | السياسة الخارجية لدولة الإمارات العربية المتحدة |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: السياسة الخارجية لدولة الإمارات العربية المتحدة | Statement: [وزارة الخارجية, نطاق_الاختصاص, السياسة الخارجية لدولة الإمارات العربية المتحدة]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: نطاق_الاختصاص Context triple: [وزارة الخارجية, نطاق_الاختصاص, السياسة الخارجية لدولة الإمارات العربية المتحدة]
-
A.
الاختصاص الرئيسي
Indicates that one entity is the primary field of specialization or main area of focus for another entity.
-
B.
competenceArea
chosen
Indicates that one entity has a particular domain, field, or area in which it possesses competence, expertise, or responsibility.
-
C.
subjectSpecialization
Indicates that one subject focuses on, or has expertise in, a particular field, topic, or area of knowledge.
-
D.
disciplinaryFocus
Indicates the primary academic or professional field, subject area, or discipline that something is centered on or concerned with.
-
E.
rangeSpecialization
Indicates that one entity is a more specific or constrained version of another entity within a defined range or scope.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69f76deacf4481908e7735a5a7715b0a |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f79533b88c8190934ec4cb21770e24 |
completed | May 3, 2026, 6:34 p.m. |
| PD | Predicate disambiguation | batch_69f79104f5b48190a496cdffde8472da |
completed | May 3, 2026, 6:16 p.m. |
Created at: May 3, 2026, 4:03 p.m.